TensorFlow源地址
https://tensorflow.google.cn/tutorials/quickstart/beginner
一个简单的深度学习训练框架
导入TensorFlow包和在线加载数据集
mport tensorflow as tf
mnist = tf.keras.datasets.mnist
(x_train, y_train), (x_test, y_test) = mnist.load_data()
x_train, x_test = x_train / 255.0, x_test / 255.0
初始化神经网络层
model = tf.keras.models.Sequential([
tf.keras.layers.Flatten(input_shape=(28, 28)),
tf.keras.layers.Dense(128, activation='relu'),
tf.keras.layers.Dropout(0.2),
tf.keras.layers.Dense(10, activation='softmax')
])
初始化模型参数(损失函数)
model.compile(optimizer='adam',
loss='sparse_categorical_crossentropy',
metrics=['accuracy'])
开始训练
model.fit(x_train, y_train, epochs=5)
model.evaluate(x_test, y_test, verbose=2)